--- APOLOGIZE FOR CROSS-POSTINGS ---
Call for PhD Forum and Posters Track
-----------------------------------------
After successful event as a part of ASONAM 2016, the PhD forum and posters track will again take place as part of 2017(ASONAM 201731 July - 03 August, 2017 Sydney, Australia)
This forum will provide graduate students (e.g., PhD students, pre-doctoral students and Master leading to PhD students) and researchers with an opportunity to share, present, explore, develop their research ideas, and to receive feedback from the research community that will help them in further developing and progressing in their PhD studies. This will help students as prospective candidates to connect up with senior researchers participating in the conference. It will also stimulate collaborations between students with similar research interests.
This forum is intended for students at any stage of their PhD work. All submissions will be thoroughly reviewed by experts in the field and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Further, authors should certify that their submissions contain substantially new and previously unpublished research. Students will be given an opportunity to present their proposals and get feedback and advice on how to improve their research plan.
Submission
-----------
We welcome submissions of research ideas that are mature enough to be presented and whose content can evolve to become the substantial part of a PhD dissertation. Reports on PhD dissertations and work in progress towards their dissertation should address research issues, challenges, and originality. Submissions should clearly describe the problem, explain its importance, detail why existing solutions are not sufficient, and give an outline of proposed solutions and preliminary experimental evaluation. Submissions should be written in English and pertaining to the topics mentioned in the Call for Paper page for the ASONAM 2017 conference.
Two categories of submissions will be accepted:
Full papers up to 8 pages
Short communications up to 4 pages
Extended abstracts for posters up to 2 pages
For full papers, submissions should be based on more mature research proposals. For extended abstracts, submissions can be about preliminary research ideas or works in progress.
All papers must be in IEEE two-columns format.
Submissions should include the title, student author highlighted, affiliation, e-mail address, postal address and abstract on the first page. Authors should mention supervisor(s) name (if not listed as coauthor(s)) and affiliation as well as any funding source(s) in acknowledgements section. Papers should be submitted online using the PhD forum's Online Submission System (URL to be announced).
Paper submission implies the main author of the paper is a graduate students and one of the authors must pay full registration fee and attend the PhD forum to present the paper. The PhD forum participants will also enjoy free access to the full program of ASONAM 2017 and all the accompanying symposia, tutorials and workshops.
The submission link: https://easychair.org/conferences/?conf=asonampfp2017
Publication
-----------
Accepted and presented papers will be included in the Conference Proceedings and forwarded for inclusion in IEEE Computer Society Digital Library (CSDL), IEEE Xplore and the ACM Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. The proceedings will be also covered by several other indexes, including DBLP, SCOPUS, etc.
A selection of accepted papers will also be invited to submit an extended version of their work to an edited book, that will be published by Springer in the LNSN format.
Contact
--------
For general inquiries about the PhD forum and posters track, please contact the PhD forum and posters organizers.
Key Dates
----------
Paper submission deadline May 20, 2017 11:59 PM American Samoa Zone (UTC-11)
Acceptance Notification June 20, 2017
Camera-ready paper due June 30, 2017 11:59 PM American Samoa Zone (UTC-11)
Conference events July 31, 2017
--------------------------------------------------------------------------------------------------------
(sorry for cross postings)
**************************************************************************
CALL FOR PAPERS:
Fifth Special Session on High Performance Computing in Modelling and
Simulation (HPCMS)
Within PDP 2018
The 26th Euromicro International Conference on Parallel, and
Network-Based Computing
Cambridge, UK
21-23 March 2018
http://www.pdp2018.org
Deadline: September 15th, 2017
Contact: William Spataro - spataro(a)unical.it
*************************************************************************
AIMS AND SCOPE
The development of models through which computers can simulate the
evolution of artificial and natural systems is fundamental for the
advancement of Science. In the last decades, the increasing power of
computers has allowed to considerably extend the application of computing
methodologies in research and industry, but also to the quantitative study
of complex phenomena. This has permitted a broad application of numerical
methods for differential equation systems (e.g., FEM, FDM, etc.) on one
hand, and the application of alternative computational paradigms, such as
Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence,
etc., on the other. These latter have demonstrated their effectiveness for
modelling purposes when traditional simulation methodologies have proven to
be impracticable.
Following the success of our past HPCMS workshops which were held in Turin,
Turku and Crete, we are glad to invite you to our fourth edition which will
take place in St. Petersburg (Russia).
An important mission of the HPCMS Workshop is to provide a platform for a
multidisciplinary community composed of scholars, researchers, developers,
educators, practitioners and experts from world leading Universities,
Institutions, Agencies and Companies in Computational Science, and thus in
the High Performance Computing for Modelling and Simulation field.
HPCMS intent is to offer an opportunity to express and confront views on
trends, challenges, and state-of-the art in diverse application fields,
such as engineering, physics, chemistry, biology, geology, medicine,
ecology, sociology, traffic control, economy, etc.
Topics of interest include, but are not limited to, the following:
- High-performance computing in computational science: intra-disciplinary
and multi-disciplinary research applications
- Complex systems modelling and simulation
- Cellular Automata, Genetic Algorithms, Neural networks, Swarm
Intelligence implementations
- Integrated approach to optimization and simulation
- MPI, OpenMP, GPGPU applications in Computational Science
- Optimization algorithms, modelling techniques related to optimization in
Computational Science
- High-performance Software developed to solve science (e.g., biological,
physical, and social), engineering, medicine, and humanities problems
- Hardware approaches of high performance computing in modeling and
simulation
IMPORTANT DATES
Paper submission: 15th Sep 2017
Acceptance notification: 13th Oct 2017
Camera ready due: 17nd Nov 2017
Conference: 21th - 23th Mar 2018
Submission guidelines
Prospective authors should submit a full paper not exceeding 8 pages in the
IEEE Conference proceedings format (IEEEtran, double-column, 10pt).
Double-bind review: the first page of the paper should contain only the
title and abstract; in the reference list, references to the authors’ own
work should appear as "omitted for blind review" entries. For submission,
please use the follwoing link:
http://www.easychair.org/conferences/?conf=pdp2018
Manuscript submission Publication
All accepted papers will be included in the same volume, published by the
Conference Publishing Services (CPS). The Final Paper Preparation and
Submission Instructions will be published after the notification of
acceptance. Authors of accepted papers are expected to register and present
their papers at the Conference. Conference proceedings will be submitted
for inclusion in Xplore and the CSDL, and for indexing, among others, to
DBLP, Scopus ScienceDirect, and ISI Web of Knowledge.
Special Issue
As for previous editions, organizers of the HPCMS session are planning a
Special Issue of an important international ISI Journal, based on
distinguished papers that will be accepted for the session. For instance, a
selected number of papers of the past workshop editions have been published
on the ISI Journal “International Journal of High Performance Computing
Applications” and “Concurrency and Computation: Practice and Experience”.
Organizers
William Spataro – University of Calabria, Italy
Georgios Sirakoulis - Democritus University of Thrace, Greece
Giuseppe A. Trunfio – University of Sassari, Italy
Program Committee
Gihan R. Mudalige, University of Warwick, UK
Angelos Amanatiadis, Democritus University of Thrace, Greece
Donato D’Ambrosio, University of Calabria, Italy
Pawel Topa, AGH University of Science and Technology, Poland
Gianluigi Folino, ICAR-CNR, Italy
Lou D’Alotto, York College/CUNY, New York, USA
Antonios Gasteratos, Democritus University of Thrace, Greece
Ioakeim Georgoudas, Democritus University of Thrace, Greece
Marco Beccutti, University of Torino, Italy
Rolf Hoffmann, Darmstadt University, Germany
Ioannis Karafyllidis, Democritus University of Thrace, Greece
Yaroslav Sergeyev, University of Calabria, Italy
Antisthenis Tsompanas, University of the West of England, UK
Rocco Rongo, University of Calabria, Italy
Georgios Sirakoulis, Democritus University of Thrace, Greece
William Spataro, University of Calabria, Italy
Giuseppe A. Trunfio, University of Sassari, Italy
Marco Villani, University of Modena and Reggio Emilia, Italy
Jaroslaw Was, AGH University of Science and Technology, Poland
Davide Spataro, University of Calabria, Italy
Massimo Cafaro, University of Salento, Italy
Mario Cannataro, University Magna Graecia of Catanzaro, Italy
*************************************************************************
SASO 2017: Abstract submission deadline TODAY
*************************************************************************
CALL FOR PAPERS
The Eleventh IEEE International Conference on Self-Adaptive and Self-Organizing Systems
(SASO 2017)
University of Arizona, Tucson, AZ; 18-22 September 2017
https://saso2017.telecom-paristech.fr/
*************************************************************************
Part of FAS* - Foundation and Applications of Self-* Computing Conferences
Collocated with:
The International Conference on Cloud and Autonomic Computing (ICCAC 2017)
-------------------
Aims and Scope
-------------------
The aim of the Self-Adaptive and Self-Organizing Systems conference series (SASO) is to provide a forum for the presentation and discussion of research on the foundations of engineered systems that self-adapt and self-organize. The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics in the environment. This has led the software engineering, distributed systems, and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. In this endeavor, self-organization and self-adaptation have emerged as two promising interrelated approaches. They form the basis for many other so-called self-* properties, such as self-configuration, self-healing, or self-optimization.
SASO aims to be an interdisciplinary meeting, where contributions from participants with different backgrounds leads to the fostering of a cross-pollination of ideas, and where innovative theories, frameworks, methodologies, tools, and applications can emerge.
The eleventh edition of the SASO conference embraces this inter-disciplinary nature, and welcomes novel contributions to both the foundational and application-focused dimensions of self-adaptive and self-organizing systems research.
The topics of interest include, but are not limited to:
- Systems theory: nature-inspired and socially-inspired paradigms and heuristics; inter-operation of
self-* mechanisms; theoretical frameworks and models; control theory;
- System properties: robustness; resilience; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness;
- Systems engineering: reusable mechanisms and algorithms; design patterns; architectures; methodologies; software and middleware development frameworks and methods; platforms and toolkits; multi-agent systems;
- Theory and practice of organization: self-governance, change management, electronic institutions, distributed consensus, commons, knowledge management, and the general use of rules, policies, etc. in self-* systems
- Theory and practice of adaptation: mechanisms for adaptation, including evolution, logic, learning; adaptability, plasticity, flexibility
- Socio-technical systems: human and social factors; visualization; crowdsourcing and collective awareness; humans-in-the-loop; ethics and humanities in self-* systems;
- Data-driven approaches: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage behavior of complex systems;
- Self-adaptive and self-organizing hardware: self-* materials; self-construction; reconfigurable hardware;
- Education: experience reports; curricula; innovative course concepts; methodological aspects of self-* systems education;
Applications and experiences with self-* systems in any of the following domains are of particular interest:
+ Smart systems: smart grids, smart cities, smart environments, smart homes, etc.
+ Industrial automation: embedded self-* systems, adaptive industrial plants, Industry 4.0, cyber physical systems
+ Transportation: autonomous vehicles, traffic optimization
+ Autonomous systems: aerial vehicles, undersea vehicles, autonomous robotics
+ Internet of Things: self-* for network management, self-* applied to cyber security
We are looking for contributions that present new fundamental understanding of self-adaptive and self-organizing systems and how they can be engineered and used, including: novel theoretical or experimental results, novel design patterns, mechanisms, system architectures, frameworks, tools, and practical experiences in building or deploying systems and applications. Contributions contrasting different approaches for engineering a given family of systems, or demonstrating the applicability of a certain approach for different systems, are equally encouraged. Likewise, papers describing substantial innovation or insights in the use and communication of self-* systems in the classroom are welcome.
Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.
--------------------
Important Dates
--------------------
Abstract submission: May 8, 2017
Paper submission: May 24, 2017
Notification: June 30, 2017
Camera ready copy due: July 12, 2017
Conference: September 18-22, 2017
----------------------------
Submission Instructions
----------------------------
Submissions can be up to 10 pages, formatted according to the standard IEEE Computer Society Press proceedings style guide, and submitted electronically in PDF format.
Please submit your papers using the SASO 2017 conference management system https://easychair.org/conferences/?conf=saso2017.
The proceedings will be published by the IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. Note that a separate Call for Poster and Demo Submissions will also be issued.
As per the standard IEEE policies, all submissions should be original, i.e., they must not have been previously published in any conference proceedings, book, or journal and must not currently be under review for another archival conference. We also highlight the IEEE policies regarding plagiarism and self-plagiarism (http://www.ieee.org/publications_standards/publications/rights/ID_Plagiaris…).
---------------------
Review Criteria
---------------------
Papers should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. Both theoretical and empirical contributions should be highlighted, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies, etc. Appropriate references must be made to related work. Because SASO is a cross-disciplinary conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field.
Authors are also encouraged to submit papers describing applications. Application papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome, especially if they highlight insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the SASO community.
All submissions will be rigorously peer reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality.
-------------------------------
Conference General Chair
-------------------------------
Ada Diaconescu
Telecom Paris-Tech, Paris, FR
--------------------
Program Chairs
--------------------
Peter Lewis,
Aston University, Birmingham, UK
Sam Malek,
University of California, Irvine, USA
Hella Seebach,
Augsburg University, Augsburg, DE
[Please accept our apologies if you receive multiple copies of this CFP] <>
******************************** IEEE DSS-2017 CFP *******************************
The 3rd IEEE International Conference on Data Science and Systems (DSS 2017)
Bangkok, Thailand
December 18 - 20, 2017
http://hpcl.seas.gwu.edu/dss2017/ <http://hpcl.seas.gwu.edu/dss2017/>
INTRODUCTION
=============
In parallel with Petrol as a driving resource in this world, Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Gradually and steadily, it is being world-wide recognized that data and talents are playing key roles in modern businesses.
As an interdisciplinary area, Data Science draws scientific inquiry from a broad range of subject areas such as statistics, mathematics, computer science, machine learning, optimization, signal processing, information retrieval, databases, cloud computing, computer vision, natural language processing and etc. Data Science is on the essence of deriving valuable insights from data. It is emerging to meet the challenges of processing very large datasets, i.e. Big Data, with the explosion of new data continuously generated from various channels such as smart devices, web, mobile and social media.
Data Systems are posing many challenges in exploiting parallelism of current and upcoming computer architectures. Data volumes of applications in the fields of sciences and engineering, finance, media, online information resources, etc. are expected to double every two years over the next decade and further. With this continuing data explosion, it is necessary to store and process data efficiently by utilizing enormous computing power. The importance of data intensive systems has been raising and will continue to be the foremost fields of research. This raise brings up many research issues, in forms of capturing and accessing data effectively and fast, processing it while still achieving high performance and high throughput, and storing it efficiently for future use. Innovative programming models, high performance scalable computing platforms, efficient storage systems and expression of data requirements are at immediate need.
DSS (Data Science and Systems) was created to provide a prime international forum for researchers, industry practitioners and domain experts to exchange the latest advances in Data Science and Data Systems as well as their synergy. 2017 is the 3rd event following the success in 2015 (DSDIS 2015) and 2016 (DSS 2016).
SCOPE AND TOPICS
================
A. Data Science
• Foundational theories and models of data science
• Foundational algorithms and methods for big data
• Data classification and taxonomy
• Data metrics and metrology
• Machine learning and deep learning
• Data analytics
• Data provenance
• Fault tolerance, reliability, and availability
• Security, privacy and trust in Data
B. Data Processing Technology
• Data sensing, fusion and mining
• Data representation, dimensionality reduction, processing and proactive service layers
• Data capturing, management, and scheduling techniques
• Stream data processing and integration
• Knowledge discovery from multiple information sources
• Statistical, mathematical and probabilistic modeling and theories
• Information visualization and visual data analytics
• Information retrieval and personalized recommendation
• Parallel and distributed data storage and processing infrastructure
• MapReduce, Hadoop, Spark, scalable computing and storage platforms
• Security, privacy and data integrity in data sharing, publishing and analysis
• Replication, archiving, preservation strategies
• Stream data computing
• Meta-data management
• Remote data access
C. Data Systems
• Storage and file systems
• High performance data access toolkits
• Programming models, abstractions for data intensive computing
• Compiler and runtime support
• Future research challenges of data intensive systems
• Real-time data intensive systems
• Network support for data intensive systems
• Challenges and solutions in the era of multi/many-core platforms
• Green (power efficient) data intensive systems
• Data intensive computing on accelerators and GPUs
• Productivity tools, performance measuring and benchmark for data intensive systems
• Big Data, cloud computing and data intensive systems
D. Data Applications
• HPC system architecture, programming models and run-time systems for data intensive applications
• Innovative applications in business, finance, industry and government cases
• Data-intensive applications and their challenges
• Innovative data intensive applications such as health, energy, cybersecurity, transport, food, soil and water, resources, advanced manufacturing, environmental Change, and etc.
IMPORTANT DATES
================
· Paper Submission Deadline: June 15, 2017
· Authors Notification: August 15, 2017
· Camera-Ready Paper Due: September 15, 2017
· Early Registration Due: September 15, 2017
· Conference Date: December 18 - 20, 2017
PAPER SUBMISSION GUIDELINE
==========================
Submissions must include an abstract, keywords, the e-mail address of the corresponding author and should not exceed 8 pages for main conference, including tables and figures in IEEE CS format. The template files for LATEX or WORD can be downloaded here. All paper submissions must represent original and unpublished work. Each submission will be peer reviewed by at least three program committee members. Submission of a paper should be regarded as an undertaking that, should the paper be accepted, at least one of the authors will register for the conference and present the work. Submit your paper(s) in PDF file at the submission site.
PUBLICATIONS
==========================
Accepted and presented papers will be included into the IEEE Conference Proceedings published by IEEE CS Press. Authors of accepted papers, or at least one of them, are requested to register and present their work at the conference, otherwise their papers may be removed from the digital libraries of IEEE CS after the conference.
Distinguished papers presented at the conference, after further revision, will be published in special issues of Journal of Network and Computer Applications, Future Generation Computer Systems, Journal of Computer and System Sciences and IEEE Transactions on Emerging Topics in Computing.
[Apologies if you got multiple copies of this email]
________________________________________________________________________
*The 3rd International Workshop on Reengineering for Parallelism in
Heterogeneous Parallel Platforms (REPARA 2017)*
https://www.arcos.inf.uc3m.es/repara2017/
Held in conjunction with the International Conference of Parallel Computing
(ParCo 2017)
http://www.hpc.cineca.it/content/parco-2017
Bologna, Italy
September, 12-15, 2017
ATTENTION: New Dates
===================================
Submission deadline: June, 30, 2017
Notifications: July, 28, 2017
Abstract
===================================
In recent years, traditional processors have not been able to directly
translate chip fabrication technology advances intro performance gains. To
keep satisfying the demand for computing power, there is a shift from
homogeneous machines to heterogeneous architectures combining different
kinds of processors (CPUs, GPUs, DSPs, FPGAs, and other accelerators).
While this approach has allowed significant performance and energy
efficiency benefits, heterogeneous systems are often highly difficult to
program with existing tools. To reduce the cost of system development,
reengineering techniques emerge as a solution which may help to balance
ease-of-development with better performance, better reliability, and lower
maintenance costs.
The RePara2017 workshop it aims to join experts from related disciplines to
share recent advances in different areas contributing to better
transformation of new and legacy applications to different programming
models for diverse computing devices in the context of parallel
heterogeneous architectures.
Scope and Interest
===================================
Topics of interest include, but are not limited to:
+ High-level parallel programming models, libraries and languages for
Heterogeneous Parallel Platforms.
+ Compiler support for Heterogeneous Parallel Systems.
+ Description languages for Heterogeneous Parallel Platforms.
+ Parallel patterns for Heterogeneous Platforms.
+ Autonomic management of Power/Performance trade-offs.
+ Automated kernel identification and assessment.
+ Software refactoring approaches for parallel programming models.
+ Transformations from source code to reconfigurable hardware.
+ Integration of FPGA accelerators into refactored software.
+ Runtimes for software coordination and task mapping in Heterogeneous
Parallel Platforms.
+ Scheduling for Heterogeneous Parallel Platforms.
+ Performance modeling and prediction in Heterogeneous Parallel Platforms.
+ Energy efficiency monitoring and prediction in Heterogeneous Parallel
Platforms.
+ Software quality assessment in parallel programming models with special
attention to maintainability.
+ Applying partitioning and mapping for parallel Heterogeneous computing
architectures.
+ Application experiences of refactoring to software in industrial domains.
Workshop publication
===================================
Accepted paper will be published in the proceedings of the ParCo 2017
Conference.
Authors of accepted papers, or at least one of them, are requested to
register and present their work at the conference. Authors of accepted
papers, or at least one of them, are requested to register and present
their work at the conference, otherwise their papers will be removed from
the proceedings book prior to its publication.
Journal Publication
===================================
Extended version of selected papers from the workshop will be invited by
the RePara2017 program committee for publication, after further revision,
in an special issue of an International Journal (to be announced).
Submission Instructions
===================================
Papers submitted to the workshop should be written in English conforming to
the IOS Press Book format (see templates at IOS Press site at
http://www.iospress.nl/service/authors/latex-and-word-
tools-for-book-authors/). The paper should be submitted through the
workshop submission system at EasyChair (https://easychair.org/confere
nces/?conf=repara2017). The length of the papers should not exceed 10 pages.
Contact
===================================
Please email inquiries concerning the workshop to J. Daniel Garcia (
josedaniel.garcia(a)uc3m.es).
--
Prof. J. Daniel Garcia
Associate Professor - Profesor Titular de Universidad
Computer Architecture Group
University Carlos III of Madrid
Avenida de la Universidad, 30
28911 Leganés, Madrid. Spain
Tel: +34 91 624 6044
Fax: +34 91 624 9129
e-mail: josedaniel.garcia(a)uc3m.es
Web: http://www.arcos.inf.uc3m.es/~jdaniel
Linked-In: http://es.linkedin.com/in/jdanielgarcia
Twitter: http://www.twitter.com/jdgarciauc3m
--
Prof. J. Daniel Garcia
Associate Professor - Profesor Titular de Universidad
Computer Architecture Group
University Carlos III of Madrid
Avenida de la Universidad, 30
28911 Leganés, Madrid. Spain
Tel: +34 91 624 6044
Fax: +34 91 624 9129
e-mail: josedaniel.garcia(a)uc3m.es
Web: http://www.arcos.inf.uc3m.es/~jdaniel
Linked-In: http://es.linkedin.com/in/jdanielgarcia
Twitter: http://www.twitter.com/jdgarciauc3m
--
Prof. J. Daniel Garcia
Associate Professor - Profesor Titular de Universidad
Computer Architecture Group
University Carlos III of Madrid
Avenida de la Universidad, 30
28911 Leganés, Madrid. Spain
Tel: +34 91 624 6044
Fax: +34 91 624 9129
e-mail: josedaniel.garcia(a)uc3m.es
Web: http://www.arcos.inf.uc3m.es/~jdaniel
Linked-In: http://es.linkedin.com/in/jdanielgarcia
Twitter: http://www.twitter.com/jdgarciauc3m
*Call for Workshop Proposals*
2017 IEEE International Conference on Bioinformatics and Biomedicine
http://muii.missouri.edu/bibm2017/
Nov 13-16, 2017, Kansas City, MO, USA
=================================================================
The Program Committees of the 2017 IEEE International Conference on
Bioinformatics and Biomedicine (IEEE BIBM 2017) invite proposals for
Workshops. Selected workshops will hold a central position within the
larger Conference, which will bring together top academic and industrial
researchers from all over the world to exchange cutting edge research ideas
in bioinformatics and biomedicine. Within these fields, workshops at BIBM
form crucial focal points for emerging communities and forums for the
examination of new ideas.
Workshop organizers will be responsible for advertising the workshop,
forming the program committees, reviewing and selecting the papers, and
guaranteeing a high quality worthy of the prestige and breadth of the
Conference. All papers accepted for workshops will be included in the
Workshop Proceedings published by the IEEE Computer Society Press, made
available at the Conference.
The workshop organizers will also have the discretion of editing selected
papers (after their expansion and revision) into books or special journal
issues. Workshops should cover at least a single session (6 regular
papers). The workshop organizers should ensure registration and presence of
authors of accepted papers.
*Workshop Topics*
Each workshop subject will focus on new research challenges and initiatives
in Bioinformatics, Biomedicine and Healthcare Informatics. The workshops
should provide an informal and vibrant forum for researchers and industry
practitioners to share their research results and practical development
experiences in these three fields. Workshop topics may be narrow, e.g.,
“reverse-engineering” of gene regulatory networks from experimental data,
computational approaches to drug discovery, mathematical modeling of
signaling pathways, analysis of the next-generation sequencing data,
oscillations and synchronization of biological rhythms, wireless sensor
networks, patient health records, medical signal processing; or broad,
e.g., computational proteomics, *in-silico* diagnosis and prognosis, data
mining and machine learning algorithms for biomedical applications,
application of network research to biology, emerging technology in
healthcare, aging research etc. Prospective workshop organizers are
encouraged to contact workshop chairs for feedback.
*Important Dates*
*May *10, 2017: Workshop proposal submission due:
a proposed workshop announcement is sent by e-mail to any of
the Workshop Chairs
May 20, 2017: Notification to workshop proposers
June 25, 2017: Each workshop organizer sends out Call for Workshops Papers
*Guidelines for Workshop Proposals*
Proposals for 2017 IEEE BIBM Workshops should contain the following
components.
1. Workshop Title (e.g., mathematical modeling of signaling pathways)
2. Introduction to workshop (a few sentences about the background,
importance, purpose, interests, etc. of workshop)
3. Research topics included in the workshop (list a number of interesting
topics or areas covered by workshop)
4. Important dates (Please do not change the final camera-ready submission
date, feel free to adjust other dates)
*Sept 20, 2017:* Due date for full workshop papers submission
*Oct 10, 2017:* Notification of paper acceptance to authors
* Oct 25, 2017:* Camera-ready of accepted papers
* Nov 13-16, 2017:* Workshops
5. Program Chairs or co-chairs: (1-3 experts in the research areas of
workshop)
6. Program Committee Members: (at least 5 experts in the research areas)
7. Invited keynote speakers (optional)
*Workshop Proposal Submission:*
Pls submit your workshop proposal at:
*https://wi-lab.com/cyberchair/2017/bibm17/scripts/submit.php?subarea=ProW
<https://wi-lab.com/cyberchair/2017/bibm17/scripts/submit.php?subarea=ProW> *
*Workshop Chairs:*
Prof. Illhoi Yoo, University of Missouri, USA
Email: yooil(a)health.missouri.edu
Prof. Jane Huiru Zheng, Ulster University, UK
Email: h.zheng(a)ulster.ac.uk
########################################################################
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AlCoB 2017: call for participation*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line*
**********************************************************************************
4th INTERNATIONAL CONFERENCE ON ALGORITHMS FOR COMPUTATIONAL BIOLOGY
AlCoB 2017
Aveiro, Portugal
June 5-6, 2017
Organized by:
Center for Research & Development in Mathematics and Applications (CIDMA)
Institute of Electronics and Informatics Engineering of Aveiro (IEETA)
University of Aveiro
Research Group on Mathematical Linguistics (GRLMC)
Rovira i Virgili University
http://grammars.grlmc.com/AlCoB2017/
**********************************************************************************
PROGRAM
Monday, June 5
09:00 - 09:30 Registration
09:30 - 09:40 Opening
09:40 - 10:30 Michael Biehl: Biomedical Applications of Prototype Based Classifiers and Relevance Learning - Invited lecture
10:30 - 11:00 Coffee break
11:00 - 11:50
Stefano Beretta, Paola Bonizzoni, Luca Denti, Marco Previtali and Raffaella Rizzi: Mapping RNA-seq Data to a Transcript Graph via Approximate Pattern Matching to a Hypertext
Alessio Conte, Roberto Grossi, Andrea Marino, Lorenzo Tattini and Luca Versari: A Fast Algorithm for Large Common Connected Induced Subgraphs
11:50 - 12:05 Break
12:05 - 12:55
Javlon E. Isomurodov, Alexander A. Loboda and Alexey A. Sergushichev: Ranking Vertices for Active Module Recovery Problem
John L. Pfaltz: Computational Processes that Appear to Model Human Memory
12:55 - 14:25 Lunch
14:25 - 15:15
Philip J. Gerrish and Nick Hengartner: Inferring the Distribution of Fitness Effects (DFE) of Newly-arising Mutations Using Samples Taken from Evolving Populations in Real Time
Jesper Jansson, Ramesh Rajaby and Wing-Kin Sung: An Efficient Algorithm for the Rooted Triplet Distance between Galled Trees
15:15 - 15:30 Break and Group photo
15:30 - 16:20 Benedict Paten: Describing the Local Structure of Sequence Graphs - Invited lecture
16:20 - 16:35 Break
16:35 - 18:05 Poster presentations
Martin Ayling and Richard Leggett. MetaCortex: Assembling Variation in Metagenomics
Gregory Farrant, Hoebeke Mark, Frédéric Partensky, Gwendoline Andrès, Erwan Corre and Laurence Garczarek. WiseScaffolder: An Algorithm for the Semi-automatic Scaffolding of Next Generation Sequencing Data
Daniel Figueiredo and Eugénio Rocha. sDL: A Prover for Hybrid Systems
César González, Mariano Pérez-Martínez, Juan M. Orduña, Javier Chaves-Martinez and Ana Barbara Garcia-Garcia. On the Use of Bit Arrays in the Detection of DNA Regions with Methylated Cytosines
Morteza Hosseini, Diogo Pratas and Armando J. Pinho. Quantifying Inverted Repeats in DNA Sequences
Haneen Najjar, Nagam Khoury and Alexander Bolshoy. Quasi-omnipresent N-grams in M Prokaryotic Genomes
John Santerre, James Davis, Fangfang Xia and Rick Stevens. Machine Learning for the Phenotype to Genotype Problem
Antonio J. Tallón-Ballesteros and María Rodríguez-Romero. Multilayer Perceptron Based on Hyperbolic Tangent Hidden Nodes. An Experimental Study
Antonio J. Tallón-Ballesteros, Luis Rus-Pegalajar, María Rodríguez-Romero and Jonathan E. Benavides-Vallejo. Ranking-based Feature Selection in Microarray Problems
18:15 - 19:15 Touristic visit
---
Tuesday, June 6
09:00 - 09:50 Marie-France Sagot: Algorithmically Exploring and Exploiting Interspecific Interactions - Invited lecture
09:50 - 10:20 Coffee break
10:20 - 11:10
Alex Ozdemir, Michael Sheely, Daniel Bork, Ricson Cheng, Reyna Hulett, Jean Sung, Jincheng Wang and Ran Libeskind-Hadas: Clustering the Space of Maximum Parsimony Reconciliations in the Duplication-Transfer-Loss Model
T.M. Rezwanul Islam and Ian McQuillan: CSA-X: Modularized Constrained Multiple Sequence Alignment
11:10 - 11:25 Break
11:25 - 12:15
Ozan Kahramanogullari: Quantifying Information Flow in Chemical Reaction Networks
Gabriel H.G. Silva, Edans F.O. Sandes, George Teodoro and Alba C.M A. Melo: Parallel Biological Sequence Comparison in Linear Space with Multiple Adjustable Bands
12:15 - 12:25 Closing
12:25 - Lunch
CALL FOR PAPERS: THE Eighth International Green and Sustainable Computing
Conference (IGSC’17)
================================================================================================
www.green-conf.org
October 23-25 2017, Orlando, Florida
IGSC’17 will provide a forum for presenting and discussing innovative
research on a broad range of topics in the fields of sustainable and
energy-efficient computing and computing for a more sustainable planet. The
conference will consist of technical papers, panels, workshops, PhD Forum,
and tutorials on these topics. IGSC’17 will be technically co-sponsored by
the IEEE. Topics of interest include, but are not limited to:
Green Computing
-----------------
- Power- and thermal-aware algorithms, software and hardware
- Low-power electronics and systems
- Power-efficient multi/many-core chip design
- Application-specific ASICs and FPGAs
- Sensing and monitoring
- Power and thermal behavior and control
- Data centers optimization
- Smart grid and microgrids
- Power-efficient delivery and cooling
- Reliability, life-cycle analysis of IT equipment
Computing for Sustainability
-----------------------------
- Renewable energy models and prediction
- Matching energy supply and demand
- Smart transportation and electric vehicles
- Smart buildings and urban computing
- Energy harvesting, storage, and recycling
- Climate and ecosystem monitoring
- IT solutions for water quality, air pollution, and sustainable agriculture
- Computational models for epidemics, infectious diseases, and human
well-being
- Computational methods for sustainable economy and society
Paper submission guidelines
----------------------------------
IGSC’17 welcomes submissions that have not been published and that are not
under review by other conferences or journals. All submissions will be
evaluated on their originality, technical soundness, significance,
presentation, and interest to the conference attendees. Please refer to the
IGSC website (www.green-conf.org) for specific instructions related to
paper submission.
Best paper award and journal publication
------------------------------------------
The Technical Committee will select the best contributions to be extended
and considered by the Elsevier Journal on Sustainable Computing.
Workshops and special sessions
---------------------------------
Proposals are solicited for workshops and special sessions to be held in
conjunction with the conference. Proposals should be submitted to the
Workshops and Special Sessions Chair (iahmad(a)cse.uta.edu).
Ph.D. forum
------------
Submissions are solicited for a Ph.D. forum, from doctoral students engaged
in research on sustainable and energy-efficient computing. Please refer to
the IGSC website for specific instructions for extended abstract submission.
Important dates
-----------------
Deadline for submitting Workshop and Special Session proposals: May 15, 2017
Deadline for submitting Ph.D. forum extended abstracts: June 16, 2017
Paper submission: June 16, 2017
Notifications sent to authors: July 17, 2017
Camera-ready papers due: Aug 5, 2017
Organization
--------------
Steering Committee Chairs: Ishfaq Ahmad (University of Texas, Arlington,
USA), iahmad(a)cse.uta.edu
Behrooz Shirazi (Washington State University, USA), shirazi(a)wsu.edu
General Chair: Weisong Shi (Wayne State University, USA),
weisong(a)wayne.edu
Tech. Program Chair: Sudeep Pasricha (Colorado State University, USA),
sudeep(a)colostate.edu
Workshop Chair: Ishfaq Ahmad (University of Texas, Arlington, USA),
iahmad(a)cse.uta.edu
PhD Forum Chair: Mahdi Nikdast (Polytechnique Montréal, Canada),
mahdi.nikdast(a)polymtl.ca
Publicity Chair: Ishan Thakkar (Colorado State University, USA),
ishan9it(a)rams.colostate.edu
*Our apologies if you receive multiple copies of this announcement.*
MOD 2017: The 3rd International Conference on Machine learning,
Optimization & big Data
An Interdisciplinary Conference: Machine Learning, Optimization and Data
Science without Borders
=======================================================
September 14 - 17, 2017, Volterra (Pisa) Tuscany, Italy
http://www.taosciences.it/mod/
Important dates
===============
* Full Paper Submissions: May 15, 2017
* Full Paper Notifications: June 30, 2017
* Conference: September 14 - 17, 2017
Best Paper Awards
===============
Springer sponsors the MOD 2017 Best Paper Award with a cash prize of EUR
1,000. The Award will be conferred at the conference on the authors of the
best paper award.
Keynote Speakers
===============
+ Yi-Ke Guo, Department of Computing, Faculty of Engineering, Imperial
College London, UK Founding Director of Data Science Institute.
+ Ruslan Salakhutdinov, Machine Learning Department, School of Computer
Science at Carnegie Mellon University, USA. Director of AI Research at
Apple.
+ Jun Pei, Hefei University of Technology, China
+ Georgios Giannakis, Department of Electrical and Computer Engineering,
University of Minnesota, Director of Digital Technology Center, USA (TBC)
Special Sessions
===============
+ "Metaheuristics and Multi-Objective optimization for Big Data"
Clarisse Dhaenens, University of Lille, France
Laetitia Jourdan, University of Lille, France
https://sites.google.com/view/mmo-bd2017/
+ “Industrial Session on Machine Learning, Optimization and Data Science
for Real-World Applications”
Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo,
UniCredit R&D, Italy
Tutorial
===============
+ “Tutorial on Scalable Data Mining on Cloud Computing Systems”
Domenico Talia, University of Calabria, Italy
The International Conference on Machine learning, Optimization, and big
Data (MOD) has established itself as a premier interdisciplinary conference
in machine learning, computational optimization, knowledge discovery and
data science. It provides an international forum for presentation of
original multidisciplinary research results, as well as exchange and
dissemination of innovative and practical development experiences.
The conference will consist of four days of conference sessions. We invite
submissions of papers on all topics related to Machine learning,
Optimization, Knowledge Discovery and Data Science including real-world
applications for the Conference Proceedings (Springer - Lecture Notes in
Computer Science - LNCS).
Topics of Interest
The last five-year period has seen a impressive revolution in the theory
and application of machine learning, optimization and big data.
Topics of interest include, but are not limited to:
* Foundations, algorithms, models and theory of data science, including big
data mining.
* Machine learning and statistical methods for big data.
* Machine Learning algorithms and models. Neural Networks and Learning
Systems. Convolutional neural networks.
* Unsupervised, semi-supervised, and supervised Learning.
* Knowledge Discovery. Learning Representations. Representation learning
for planning and reinforcement learning.
* Metric learning and kernel learning. Sparse coding and dimensionality
expansion. Hierarchical models. Learning representations of outputs or
states.
* Multi-objective optimization. Optimization and Game Theory.
Surrogate-assisted Optimization. Derivative-free Optimization.
* Big data Mining from heterogeneous data sources, including text,
semi-structured, spatio-temporal, streaming, graph, web, and multimedia
data.
* Big Data mining systems and platforms, and their efficiency, scalability,
security and privacy.
* Computational optimization. Optimization for representation learning.
Optimization under Uncertainty
* Optimization algorithms for Real World Applications. Optimization for Big
Data. Optimization and Machine Learning.
* Implementation issues, parallelization, software platforms, hardware
* Big Data mining for modeling, visualization, personalization, and
recommendation.
* Big Data mining for cyber-physical systems and complex, time-evolving
networks.
* Applications in social sciences, physical sciences, engineering, life
sciences, web, marketing, finance, precision medicine, health informatics,
medicine and other domains.
We particularly encourage submissions in emerging topics of high importance
such as data quality, advanced deep learning, time-evolving networks, large
multi-objective optimization, quantum discrete optimization, learning
representations, big data mining and analytics, cyber-physical systems,
heterogeneous data integration and mining, autonomous decision and
adaptive control.
Submission Guidelines
===============
Paper submissions should be limited to a maximum of 12 pages, in the
Springer LNCS format:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
including the bibliography and any possible appendices.
All submissions will be 6-blind reviewed by the Program Committee on the
basis of technical quality, significance, multidisciplinary, relevance to
scope of the conference, originality and clarity.
https://easychair.org/conferences/?conf=mod2017
Types of Submissions
===============
When submitting a paper to MOD 2017, authors are required to select
one of the following four types of papers:
+ Long paper: original novel and unpublished work (max. 12 pages in
Springer LNCS format);
+ Short paper: an extended abstract of novel work (max. 4 pages);
+ Work for oral presentation only (no page restriction; any format).
For example, work already published elsewhere, which is relevant and which
may solicit fruitful discussion at the conference;
+ Abstract for poster presentation only (max. 2 pages). The poster format
for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively
46.8 x 33.1 inch). For research work which is relevant and which may
solicit fruitful discussion at the conference.
Post-Proceedings
===============
All accepted long papers will be published in a volume of the series
'Lecture Notes in Computer Science' from Springer *after* the conference.
Instructions for preparing and submitting the final versions (camera-ready
papers) of all accepted papers will be available later on. All the other
papers (short papers, abstracts of the oral presentations, abstracts for
the poster presentations) will be published on the MOD 2017 web site.
Presentation
===============
MOD uses the single session formula of 30 minutes presentations for
fruitful exchanges between authors and participants.
Attendance
===============
MOD is a premier forum for presenting and discussing current research in
machine learning, optimization and big data.
Therefore, at least one author of each accepted paper must complete the
conference registration and present the paper at the conference,
in order for the paper to be included in the proceedings and conference
program.
Organization
===============
General Chair:
Renato Umeton, Harvard University, USA
Program Co-Chairs:
Giovanni Giuffrida, University of Catania, Italy & Neodata Group
Giuseppe Nicosia, University of Catania, Italy
Panos Pardalos, University of Florida, USA
Special Session Co-Chairs:
Giuseppe Narzisi, New York University Tandon School of Engineering & New
York Genome Center, New York, USA
Workshop Co-Chair:
Piero Conca, CNR, Italy
Industrial Panel Chairs:
Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo,
UniCredit R&D
W: http://www.taosciences.it/mod/
E: modworkshop2017(a)gmail.com
--
Giuseppe Nicosia, Ph.D.
Associate Professor of Computer Science
Dept. of Mathematics & Computer Science
University of Catania
Viale A. Doria, 6 - 95125 Catania, Italy
P +39 095 7383048
nicosia(a)dmi.unict.it
http://www.dmi.unict.it/nicosia
==================================================================
4th International Synthetic & Systems Biology Summer School - SSBSS 2017
* Biology meets Computer Science & Engineering *
July 17-21, 2017 - University of Cambridge, Robinson College, UK
http://www.taosciences.it/ssbss/
Contact Email: ssbss.school(a)gmail.com
FB: https://www.facebook.com/ssbss.school/
SSBSS - Synthetic & Systems Biology Summer School Group:
https://www.facebook.com/groups/238417586492061/
Computational Synthetic Biology Group:
https://www.facebook.com/groups/1014624245288596/
==================================================================
3rd International Conference on Machine learning, Optimization & big Data -
MOD 2017
An Interdisciplinary Conference: Machine Learning, Optimization and Data
Science without Borders
September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy
modworkshop2017(a)gmail.com
http://www.taosciences.it/mod/
==================================================================
CALL FOR PAPERS
PGAS Applications Workshop at PPAM 2017 (http://pcj.icm.edu.pl/pgasapp2017)
PGAS APP is a full-day workshop to be held at the PPAM 2017 focusing on
PGAS (Partitioned Global Address Space) programming model and its
application for large-scale parallel systems and multicore processors.
Its goal is to bring together researchers working in the area of PGAS
programming paradigm to parallelize large scale applications. The
workshop focuses on PGAS programming languages, tools and libraries with
the special focus on applications developed within this programming
model. The workshop is open to any PGAS languages, with the special
focus of new solutions. This workshop will feature papers that explore
experiences from application developers in the use of the PGAS
programming model for the development of scalable codes. The papers
presented practical implementations, scalability and parallelization
efficiency are foreseen.
Possible topics include, but are not limited to:
PGAS Languages and library implementations and their evaluation,
Applications development experience with PGAS programming model,
PGAS programming model for heterogenous systems,
Comparisons between PGAS and other programming models,
Benchmark suites and performance studies for PGAS programming model,
Optimization techniques.
Please submit full papers via the PPAM Conference submission system
(formatted according to the PPAM specification), not previously
published or submitted for publication elsewhere.
Please acknowledge the workshop chair (address below) by sending an
email including a cover page with the title, abstract, names and e-mail
of the authors. Please submit pdf files.
IMPORTANT DATES:
Paper due May 31, 2017
Notification of acceptance June 20, 2017
Final version of the paper due Nov. 15, 2017
Workshop Chair:
Piotr Bała, ICM, University of Warsaw
Email: pgas2017(a)icm.edu.pl
Program Committee
Piotr Bała ICM University of Warsaw, Poland
Costas Bekas IBM Research, Zurich, Switzerland
Buğra Gedik Bilkent University, Turkey
Dimitrios S. Nikolopoulos Queens University Belfast, UK
Marek Nowicki Nicloaus Copernicus University in Toruń, Poland
Hans Vandierendonck Queens University Belfast, UK